The metaverse is currently in the process of development and has applications in various fields, ranging from the gaming industry to art, communication, education, and fashion. Researchers regard the metaverse as the future of the internet, and, in this context, the impact of this new universe’s development on the environment needs to be investigated to find viable solutions for its sustainability. We have discussed the economic and social sustainability consequences of the metaverse, and we have largely concentrated on the environmental effects. In conducting this research, we used a quantitative methodology mainly based on a structured questionnaire. We analyzed the impact of the metaverse on the environment from the perspective of professionals in the Romanian software development and programming industries. We selected this sample because the field is newly emerging and because they are experts on how the metaverse functions and evolves. We concluded that IT professionals believe that the new universe could have several negative impacts on the natural environment, such as increased power consumption or increased CO₂. emissions and the negative impact can be mitigated by adopting clear regulations and sustainable policies at the international level. This study aims to contribute to the long-term sustainability of the metaverse ecosystem by facilitating a comprehensive understanding of its functioning and evolution, as well as by addressing potential negative impacts on the natural environment. Additionally, the study seeks to make a scholarly contribution to advancing a sustainable metaverse by fostering informed decision-making processes and encouraging responsible practices within the industry. This research might be useful for technology companies, academics, and policymakers.

In the latest studies concerning the sentiment polarity of words, the authors mostly consider the positive and negative constructions, without paying too much attention to the neutral words, which can have, in fact, significant sentiment degrees. More precisely, not all the neutral words have zero positivity or negativity scores, some of them having quite important nonzero scores for these polarities. At this moment, in the literature, a word is considered neutral if its positive and negative scores are equal, which implies two possibilities: (1) zero positive and negative scores; (2) nonzero, but equal positive and negative scores. It is obvious that these cases represent two different categories of neutral words that must be treated separately by a sentiment analysis task. In this paper, we present a comprehensive study about the neutral words applied to English as is developed with the aid of SentiWordNet 3.0: the publicly available lexical resource for opinion mining. We designed our study in order to provide an accurate classification of the so-called “neutral words” described in terms of sentiment scores and using measures from neutrosophy theory. The intended scope is to fill the gap concerning the neutrality aspect by giving precise measurements for the words’ objectivity.

Artificial intelligence has made its mark on the media industry in Romania, and television is one of the sectors most affected by its development. This paper analyzes through a quantitative method the impact of artificial intelligence (AI) on television from the perspective of media industry professionals in Romania. The research was conducted usinga quantitative method based on a structured questionnaire. The study focuses on the responses of 128 journalists working in local and national TV stations directly involved in content creation and editorial or production processes. We selected this sample because media specialists have the knowledge to express informed opinions on this subject. The survey results show that artificial intelligence is increasingly used in Romanian newsrooms. Television professionals believe that artificial intelligence tools are helpful and that they can improve the quality of content. However, at the same time, there are serious concerns about the possibility that jobs could be affected. In addition, the risk of misinformation is growing with the increasing use of artificial intelligence tools. Findings suggest that strategic, industry-wide regulations and ethical guidelines are essential to balance AI adoption while safeguarding media integrity. This research may serve media organizations, policymakers, and academia in formulating informed approaches toward AI.

Six Steps of Hermeneutical Process at H.-G. Gadamer

Volume 26: Convictive Communication and Persuasive Communication